See 
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/1167/display/redirect>

Changes:


------------------------------------------
[...truncated 58.40 MB...]
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.lang.Thread.run(Thread.java:750)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 Nov 27, 
2022 3:49:35 AM org.apache.flink.runtime.metrics.groups.TaskMetricGroup 
getOrAddOperator
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 WARNING: 
The operator name MapPartition (MapPartition at [2]write short 
words/Write/WriteImpl/DoOnce/{FlatMap(<lambda at core.py:3507>), Map(decode)}) 
exceeded the 80 characters length limit and was truncated.
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 Nov 27, 
2022 3:49:36 AM org.apache.beam.runners.jobsubmission.JobInvocation$1 onFailure
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 SEVERE: 
Error during job invocation 
BeamApp-jenkins-1127034928-b3d8ded4_afb07e3c-59f2-47f5-9c16-87683d57b979.
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 
org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.minicluster.MiniClusterJobClient.lambda$getJobExecutionResult$3(MiniClusterJobClient.java:141)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:616)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:591)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.rpc.akka.AkkaInvocationHandler.lambda$invokeRpc$1(AkkaInvocationHandler.java:259)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.util.concurrent.FutureUtils.doForward(FutureUtils.java:1389)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.lambda$null$1(ClassLoadingUtils.java:93)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:68)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.lambda$guardCompletionWithContextClassLoader$2(ClassLoadingUtils.java:92)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.concurrent.akka.AkkaFutureUtils$1.onComplete(AkkaFutureUtils.java:47)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.OnComplete.internal(Future.scala:300)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.OnComplete.internal(Future.scala:297)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.japi$CallbackBridge.apply(Future.scala:224)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.japi$CallbackBridge.apply(Future.scala:221)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.concurrent.akka.AkkaFutureUtils$DirectExecutionContext.execute(AkkaFutureUtils.java:65)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:68)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1(Promise.scala:284)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1$adapted(Promise.scala:284)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:284)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.pattern.PromiseActorRef.$bang(AskSupport.scala:621)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:24)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:23)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.Future.$anonfun$andThen$1(Future.scala:532)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:29)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:29)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:63)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.BatchingExecutor$BlockableBatch.$anonfun$run$1(BatchingExecutor.scala:100)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:81)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:100)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:49)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:48)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 Caused 
by: org.apache.flink.runtime.JobException: Recovery is suppressed by 
NoRestartBackoffTimeStrategy
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:301)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:291)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:282)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:739)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:78)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:443)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
sun.reflect.GeneratedMethodAccessor31.invoke(Unknown Source)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.lang.reflect.Method.invoke(Method.java:498)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$handleRpcInvocation$1(AkkaRpcActor.java:304)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:302)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:217)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:78)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:163)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:24)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:20)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:20)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.actor.Actor.aroundReceive(Actor.scala:537)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.actor.Actor.aroundReceive$(Actor.scala:535)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:220)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.actor.ActorCell.receiveMessage(ActorCell.scala:580)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.actor.ActorCell.invoke(ActorCell.scala:548)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.Mailbox.processMailbox(Mailbox.scala:270)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.Mailbox.run(Mailbox.scala:231)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
akka.dispatch.Mailbox.exec(Mailbox.scala:243)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   ... 4 
more
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 Caused 
by: java.io.IOException: Insufficient number of network buffers: required 16, 
but only 9 available. The total number of network buffers is currently set to 
2048 of 32768 bytes each. You can increase this number by setting the 
configuration keys 'taskmanager.memory.network.fraction', 
'taskmanager.memory.network.min', and 'taskmanager.memory.network.max'.
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.io.network.buffer.NetworkBufferPool.internalCreateBufferPool(NetworkBufferPool.java:483)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.io.network.buffer.NetworkBufferPool.createBufferPool(NetworkBufferPool.java:461)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.io.network.partition.ResultPartitionFactory.lambda$createBufferPoolFactory$0(ResultPartitionFactory.java:279)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.io.network.partition.ResultPartition.setup(ResultPartition.java:160)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.io.network.partition.SortMergeResultPartition.setup(SortMergeResultPartition.java:190)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.taskmanager.Task.setupPartitionsAndGates(Task.java:959)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:652)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
org.apache.flink.runtime.taskmanager.Task.run(Task.java:563)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126   at 
java.lang.Thread.run(Thread.java:750)
INFO     apache_beam.utils.subprocess_server:subprocess_server.py:126 
ERROR    root:portable_runner.py:577 java.io.IOException: Insufficient number 
of network buffers: required 16, but only 9 available. The total number of 
network buffers is currently set to 2048 of 32768 bytes each. You can increase 
this number by setting the configuration keys 
'taskmanager.memory.network.fraction', 'taskmanager.memory.network.min', and 
'taskmanager.memory.network.max'.
INFO     apache_beam.runners.portability.portable_runner:portable_runner.py:583 
Job state changed to FAILED
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apache_beam/examples/cookbook/filters_test.py::FiltersTest::test_filters_output_bigquery_matcher
  
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:100:
 PendingDeprecationWarning: Client.dataset is deprecated and will be removed in 
a future version. Use a string like 'my_project.my_dataset' or a 
cloud.google.bigquery.DatasetReference object, instead.
    table_ref = client.dataset(dataset_id).table(table_id)

apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
  
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/apache_beam/examples/dataframe/flight_delays.py>:47:
 FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 
'numeric_only=None') is deprecated; in a future version this will raise 
TypeError.  Select only valid columns before calling the reduction.
    return airline_df[at_top_airports].mean()


apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
apache_beam/examples/dataframe/wordcount_test.py::WordCountTest::test_basics
  
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/apache_beam/dataframe/io.py>:664:
 FutureWarning: WriteToFiles is experimental.
    sink=lambda _: _WriteToPandasFileSink(

apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
apache_beam/examples/dataframe/wordcount_test.py::WordCountTest::test_basics
  
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/apache_beam/io/fileio.py>:590:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
    p.options.view_as(GoogleCloudOptions).temp_location or

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/pytest_postCommitExamples-flink-py37.xml>
 -
=========================== short test summary info ============================
FAILED apache_beam/examples/complete/tfidf_it_test.py::TfIdfIT::test_basics - 
RuntimeError: Pipeline 
BeamApp-jenkins-1127034249-d95ebb37_8b90b90a-86ab-42af-aa61-3412aa7c2089 failed 
in state FAILED: java.io.IOException: Insufficient number of network buffers: 
required 16, but only 13 available. The total number of network buffers is 
currently set to 2048 of 32768 bytes each. You can increase this number by 
setting the configuration keys 'taskmanager.memory.network.fraction', 
'taskmanager.memory.network.min', and 'taskmanager.memory.network.max'.
FAILED 
apache_beam/examples/cookbook/bigquery_side_input_it_test.py::BigQuerySideInputIT::test_bigquery_side_input_it
 - RuntimeError: Pipeline 
BeamApp-jenkins-1127034450-30f11e89_662bcdea-0950-4571-8026-ea120e7575c1 failed 
in state FAILED: java.io.IOException: Insufficient number of network buffers: 
required 17, but only 0 available. The total number of network buffers is 
currently set to 2048 of 32768 bytes each. You can increase this number by 
setting the configuration keys 'taskmanager.memory.network.fraction', 
'taskmanager.memory.network.min', and 'taskmanager.memory.network.max'.
FAILED 
apache_beam/examples/cookbook/mergecontacts_test.py::MergeContactsTest::test_mergecontacts
 - RuntimeError: Pipeline 
BeamApp-jenkins-1127034850-7cd9b3a9_79b3f7ed-a646-4265-9701-8cd00c06468a failed 
in state FAILED: java.io.IOException: Insufficient number of network buffers: 
required 17, but only 6 available. The total number of network buffers is 
currently set to 2048 of 32768 bytes each. You can increase this number by 
setting the configuration keys 'taskmanager.memory.network.fraction', 
'taskmanager.memory.network.min', and 'taskmanager.memory.network.max'.
FAILED 
apache_beam/examples/cookbook/multiple_output_pardo_test.py::MultipleOutputParDo::test_multiple_output_pardo
 - RuntimeError: Pipeline 
BeamApp-jenkins-1127034928-b3d8ded4_afb07e3c-59f2-47f5-9c16-87683d57b979 failed 
in state FAILED: java.io.IOException: Insufficient number of network buffers: 
required 16, but only 9 available. The total number of network buffers is 
currently set to 2048 of 32768 bytes each. You can increase this number by 
setting the configuration keys 'taskmanager.memory.network.fraction', 
'taskmanager.memory.network.min', and 'taskmanager.memory.network.max'.
= 4 failed, 18 passed, 6 skipped, 6723 deselected, 41 warnings in 657.13s 
(0:10:57) =

> Task :sdks:python:test-suites:portable:py37:flinkExamples FAILED
> Task :sdks:python:test-suites:portable:py310:flinkExamples FAILED

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/test-suites/portable/common.gradle'>
 line: 245

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:portable:py37:flinkExamples'.
> Process 'command 'sh'' finished with non-zero exit value 1

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Flink/ws/src/sdks/python/test-suites/portable/common.gradle'>
 line: 245

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:portable:py310:flinkExamples'.
> Process 'command 'sh'' finished with non-zero exit value 1

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
==============================================================================

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 13m 7s
133 actionable tasks: 87 executed, 44 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/niwrtoube4246

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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